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Introduction

Data journalism has become an essential tool for investigative reporting in the digital age. With the vast amount of information available on the internet, journalists are now able to use data to uncover hidden stories, track trends, and hold powerful institutions accountable. This thesis seeks to explore the role of data journalism in investigative reporting and its impact on the field of journalism.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Evolution of data journalism
2.2 Importance of data in investigative reporting
2.3 Challenges in data journalism
2.4 Ethics and best practices in data journalism
2.5 Impact of data journalism on society
2.6 Data visualization in journalism
2.7 Data journalism tools and technologies
2.8 Training and education in data journalism
2.9 Case studies in data journalism
2.10 Future trends in data journalism

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis
3.5 Research ethics
3.6 Research limitations
3.7 Research validity
3.8 Research reliability

Chapter 4: Discussion of Findings
4.1 Data journalism practices in investigative reporting
4.2 Case studies of successful data journalism projects
4.3 Impact of data journalism on investigative reporting
4.4 Challenges faced by data journalists
4.5 Ethical considerations in data journalism
4.6 Collaboration in data journalism
4.7 The future of data journalism
4.8 Recommendations for improving data journalism practices

Chapter 5: Conclusion and Summary
5.1 Summary of findings
5.2 Conclusion
5.3 Implications for the field of journalism
5.4 Recommendations for future research

Thesis Overview

The role of data journalism in investigative reporting has grown significantly in recent years, with journalists relying on data to uncover stories that traditional reporting methods may not reveal. This thesis explores the impact of data journalism on investigative reporting, examining its evolution, challenges, best practices, and ethical considerations. Through a comprehensive literature review and analysis of case studies, this research aims to provide insights into the role of data journalism in modern journalism practice and its implications for the future of the field.

In Chapter 1, the introduction sets the stage for the thesis by outlining the background of the study, identifying the problem statement, stating the objectives of the study, discussing the limitations and scope of the research, highlighting the significance of the study, and providing the structure of the thesis.

Chapter 2 reviews the literature on data journalism, covering topics such as the evolution of data journalism, the importance of data in investigative reporting, challenges faced by data journalists, ethics and best practices in data journalism, the impact of data journalism on society, data visualization, tools and technologies, training and education, and future trends.

Chapter 3 details the research methodology used in the study, including the research design, data collection methods, sampling techniques, data analysis, ethics, limitations, validity, and reliability.

Chapter 4 presents a comprehensive discussion of the findings, exploring data journalism practices in investigative reporting, case studies of successful projects, the impact of data journalism, challenges faced, ethical considerations, collaboration, and recommendations for improvement.

Chapter 5 concludes the thesis by summarizing the findings, drawing conclusions, discussing implications for the field of journalism, and providing recommendations for future research in the area of data journalism and investigative reporting.

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